Triple

T2688086
Position Surface form Disambiguated ID Type / Status
Subject Tyne and Wear E57532 entity
Predicate contains P35 FINISHED
Object Hebburn E62417 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Hebburn | Statement: [Tyne and Wear, contains, Hebburn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hebburn
Context triple: [Tyne and Wear, contains, Hebburn]
  • A. Wansbeck
    Wansbeck is a UK parliamentary constituency in Northumberland that includes the town of Ashington and surrounding communities in northeast England.
  • B. South Shields
    South Shields is a coastal town in Tyne and Wear, England, known historically for its shipbuilding and as part of the Tyneside urban area.
  • C. Hebburn-on-Tyne, England chosen
    Hebburn-on-Tyne, England is an industrial town on the River Tyne historically known for its shipbuilding and marine engineering industries.
  • D. Wallsend
    Wallsend is a town in North Tyneside, England, historically significant as the eastern terminus of Hadrian’s Wall and site of the Segedunum Roman Fort.
  • E. Whitley Bay
    Whitley Bay is a coastal town in North Tyneside, England, known for its sandy beaches, seaside promenade, and the nearby St Mary's Island with its iconic lighthouse.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ab4a5028388190a36f3baf1588309e completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9f1ba3081909a349a2f30f8f9c9 completed March 7, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa0741bc48190adffe6cfae831e26 completed March 10, 2026, 4:39 a.m.
Created at: March 6, 2026, 9:54 p.m.